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We are thrilled to announce that the Visualizing Insights for African Agriculture (VIFAA) Kenya Fertilizer Dashboard is now live! From fertilizer price to consumption, this dashboard makes Kenyaβs fertilizer data easier to access, use, and share for national and county level decision making
Knowing where aid projects are located is important for making smart allocation and evaluation decision - but to know what is actually happening on the ground, you canβt stop there.Typically, project implementers are the only ones with knowledge of detailed project information. While contracts also offer a wealth of data points - about who is implementing which activities where, and with how much money - most contracts are either not publicly available, or not easily downloadable.
The Open Data for Development Camp (ODDC), hosted by Open for Change in Amsterdam from May 12-13, proved to be a fantastic forum for discussion of practical issues in institutionalizing open data practices. Participants generally agreed that open development data should be a core component of a paradigm shift towards increased transparency, accountability, and public participation in development practice.
There are a lot of misconceptions about using geographical information systems (GIS) in development: that itβs a niche tool, or one that requires a large budget...
Since 2019, in partnership with The African Seed Access Index (TASAI), DG through the VISTA program has been working to help decision-makers, public sector, development partners, private sector businesses, and farmers visualize and use data to support a fully functional formal seed system.
Dr. Folarin Okelola from the National Agricultural Seeds Council (NASC) recently sat down with DGer Aminata Camara Badji to discuss the TASAI Dashboard, which was created in partnership with The African Seed Access Index (TASAI) and will help stakeholders assess seed quality, availability, accessibility, and price in 17 countries in Africa.
Our objective in the DAI Farmer-Centric Data Governance Project is to demonstrate opportunities of emerging user-centric models and actions required to create an enabling environment of socio-technical factors needed for implementation.
Through the Results Data Initiative (RDI), DG worked with Malawiβs Ministry of Agriculture, Irrigation and Water Development to design a National Agriculture Management Information System that puts users at the center of system design.
Every day, governments, development partners, and civil society leaders make a multitude of decisions about how to allocate, monitor, and evaluate development assistance....
Data-driven decision-making was considered a positive norm across countries researched during the UNICEF Data for Children pilot process. Ideally, the national data use cycle would consist of: (i) evidence-based planning; (ii) implementing programs according to plans; (iii) monitoring and evaluation (M&E) and reporting; (iv) analyzing data; and (v) making appropriate planning or program adjustments.